Blind source separation of temporal correlated signals

被引:0
|
作者
Xia, Bin [1 ]
Xie, Hong [1 ]
机构
[1] Shanghai Maritime Univ, Dept Elect Engn, Shanghai 200135, Peoples R China
来源
SITIS 2007: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGIES & INTERNET BASED SYSTEMS | 2008年
关键词
D O I
10.1109/SITIS.2007.125
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we present a new framework for blind source separation of temporal correlated signals. In general, temporal correlated signals are not independent which means the independence assumption for Independent Component Analysis method is not satisfied. To achieve good separation performance, we apply high order statistics and temporal structure together to put the separation processing in residual level. The residual signals, which is residual part of source signals by extracted temporal structure, are independent. We discuss two types of BSS problem: instantaneous BSS and convolutive BSS. The cost function is derived by simplifying the mutual information of residual signals for both cases. And then we develop efficient learning algorithms respectively. Computer simulations are given to show the separation performance of the proposed algorithm and some comparisons with other algorithms are also provided
引用
收藏
页码:549 / 555
页数:7
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